Topic 1 Question 178
You recently migrated an on-premises monolithic application to a microservices application on Google Kubernetes Engine (GKE). The application has dependencies on backend services on-premises, including a CRM system and a MySQL database that contains personally identifiable information (PII). The backend services must remain on-premises to meet regulatory requirements.
You established a Cloud VPN connection between your on-premises data center and Google Cloud. You notice that some requests from your microservices application on GKE to the backend services are failing due to latency issues caused by fluctuating bandwidth, which is causing the application to crash. How should you address the latency issues?
Use Memorystore to cache frequently accessed PII data from the on-premises MySQL database
Use Istio to create a service mesh that includes the microservices on GKE and the on-premises services
Increase the number of Cloud VPN tunnels for the connection between Google Cloud and the on-premises services
Decrease the network layer packet size by decreasing the Maximum Transmission Unit (MTU) value from its default value on Cloud VPN
ユーザの投票
コメント(6)
- 正解だと思う選択肢: C
A, B, and D can be eliminated
A. Caching PII (Personally Identifiable Information) is never a good practice B. Using Istio is not going to improve the latency (the network hops remain the same) D. Reducing the packet size, has the effect of more packets being sent across which is counter productive
That leaves C as the valid option
GCP does support having multiple VPN Tunnels on the same gateway
👍 4micoams2022/12/18 - 正解だと思う選択肢: C
C is the correct answer instead.
https://cloud.google.com/network-connectivity/docs/vpn/concepts/topologies#more-bandwidth To increase the bandwidth of your HA VPN gateways, add more HA VPN tunnels.
👍 2zellck2022/12/20 Answer C. Take note the question is asking you to address a bandwidth issue, C is the most appropriate
👍 2TNT872022/12/21
シャッフルモード